YouziMa/smarthome_functiongemma_finetune_16bit
TEXT GENERATIONConcurrent Unit Cost:1Model Size:0.3BQuant:BF16Context Size:32kPublished:Jun 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The YouziMa/smarthome_functiongemma_finetune_16bit is a 0.3 billion parameter Gemma3_text model, developed by YouziMa and fine-tuned from unsloth/functiongemma-270m-it. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is specifically optimized for smart home function calling tasks, leveraging its compact size and efficient fine-tuning for rapid deployment in smart home environments.
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Model Overview
The YouziMa/smarthome_functiongemma_finetune_16bit is a compact 0.3 billion parameter Gemma3_text model, developed by YouziMa. It is a fine-tuned variant of the unsloth/functiongemma-270m-it base model, specifically optimized for smart home function calling applications.
Key Capabilities
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Smart Home Function Calling: The primary focus of this fine-tuned model is to excel at interpreting user commands and translating them into executable functions within a smart home ecosystem.
- Compact Size: With 0.3 billion parameters, it offers a lightweight solution suitable for deployment in resource-constrained environments or applications requiring low latency.
Good For
- Smart Home Automation: Ideal for developers building intelligent assistants or control systems for smart homes that require robust function calling capabilities.
- Edge Device Deployment: Its small parameter count makes it a strong candidate for deployment on edge devices where computational resources are limited.
- Rapid Prototyping: The efficient training methodology allows for quicker iteration and development cycles for smart home-related AI features.